Triple
T9619493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estha |
E232304
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ipe
Ipe is an Indian surname commonly associated with Syrian Christian families from the state of Kerala.
|
E810141
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ipe | Statement: [Estha, familyName, Ipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipe Context triple: [Estha, familyName, Ipe]
-
A.
Guaiúba
Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
-
B.
Juazeiro
Juazeiro is a city in the state of Bahia, Brazil, located on the São Francisco River and known for its agricultural production and close integration with the neighboring city of Petrolina.
-
C.
Simarouba
Simarouba is a genus of tropical trees and shrubs known for species like the paradise-tree, some of which are used for timber, traditional medicine, and oil-rich seeds.
-
D.
Inga
Inga are an Indigenous people of the Andean region of Colombia, known for their Quechua-related language and rich traditions in agriculture, herbal medicine, and communal life.
-
E.
Inga
Inga is a comedic, good-natured lab assistant and love interest in Mel Brooks’s film "Young Frankenstein," known for her playful personality and memorable lines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ipe Triple: [Estha, familyName, Ipe]
Generated description
Ipe is an Indian surname commonly associated with Syrian Christian families from the state of Kerala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ipe Target entity description: Ipe is an Indian surname commonly associated with Syrian Christian families from the state of Kerala.
-
A.
Guaiúba
Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
-
B.
Juazeiro
Juazeiro is a city in the state of Bahia, Brazil, located on the São Francisco River and known for its agricultural production and close integration with the neighboring city of Petrolina.
-
C.
Simarouba
Simarouba is a genus of tropical trees and shrubs known for species like the paradise-tree, some of which are used for timber, traditional medicine, and oil-rich seeds.
-
D.
Inga
Inga are an Indigenous people of the Andean region of Colombia, known for their Quechua-related language and rich traditions in agriculture, herbal medicine, and communal life.
-
E.
Inga
Inga is a comedic, good-natured lab assistant and love interest in Mel Brooks’s film "Young Frankenstein," known for her playful personality and memorable lines.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad295008190a4418d092576cb53 |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1796ced5c8190a3f275e03b481a96 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17a5df01081909f20c4a722cef83d |
completed | April 4, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17adb55648190b01060ade60b0fde |
completed | April 4, 2026, 8:55 p.m. |
Created at: March 30, 2026, 8:09 p.m.